ML Operations Engineer f/m

Date: Nov 16, 2023

Location: Kigali, RW

Company: Ansys

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys.


Take a leap of certainty … with Ansys.


ML Operation Engineer
Ansys, the global leader and innovator of engineering simulation software, is pleased to announce the opening of its first office in Africa, located in Kigali Innovation City, through a partnership with CMU-Africa. The new office extends the Ansys Customer Excellence (ACE) team, a world-class technical support group servicing Ansys’ global customer base.

Summary/Role Purpose:
The Machine Learning Operations Engineer is a pioneering role within the Ansys Customer Excellence (ACE) team, focused on developing and deploying AI applications at scale for various business operations. ACE team is in a continuous pursuit of operating with utmost efficiency and identifies AI as the new paradigm shift. This role is instrumental in leveraging MLOps knowledge and experience to streamline and accelerate AI transformation within the ACE team. The Machine Learning Operations Engineer will collaborate closely with the ACE team to create innovative AI-driven solutions, optimize machine learning infrastructure, and establish best practices to enhance the efficiency and effectiveness of AI implementation in the organization.

Roles & Responsibilities:
•    Develop, deploy, and maintain scalable and reliable AI applications towards technical support, learning, and development using large language models (LLMs).
•    Collaborate with solution architects, and software developers to create and implement MLOps best practices and streamline the machine learning lifecycle.
•    Develop and maintain CI/CD pipelines to ensure efficient model deployment, testing, and monitoring of AI applications.
•    Optimize machine learning models and infrastructure for performance, scalability, and cost-effectiveness.
•    Develop and implement monitoring and alerting systems to track the performance of AI applications in production.
•    Troubleshoot and resolve issues related to deployment, and performance of AI applications in the technical support, learning, and development domains.
•    Stay current with the latest trends and advancements in LLMs, MLOps, machine learning, and natural language processing technologies.
•    Participate in the ongoing evaluation of new tools, frameworks, and methodologies to enhance the efficiency and effectiveness of the MLOps process.
•    Ensure compliance with data privacy and security regulations and practice responsible AI.

Minimum Qualifications:
•    Master + a first relevant experience in computer science, engineering, or a related field.
•    Background in foundational AI models and experience working with either commercial or open-source LLMs such as ChatGPT, Llama, Claude, etc.,
•    Knowledge of machine learning, deep learning, and MLOps is necessary.
•    Proficiency in Python is required; knowledge of JavaScript front-end development is a plus but not necessary.
•    Excellent problem-solving and troubleshooting skills.
•    Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Preferred Qualifications:
•    Master’s degree in computer science, engineering, or a related field.
•    Experience with MLOps tools and technologies, such as Kubeflow, MLflow, or similar is preferred.
•    Strong understanding of prompt engineering is preferred.
•    Prior experience with AI & LLM tech-stack such as LangChain, LlamaIndex, Pinecone, etc.,
•    Familiarity with Azure cloud platform is a plus but not mandatory.
•    Strong understanding of CI/CD principles and experience in developing and maintaining CI/CD pipelines.


At Ansys, we know that changing the world takes vision, skill, and each other. We fuel new ideas, build relationships, and help each other realize our greatest potential in the knowledge that every day is an opportunity to observe, teach, inspire, and be inspired. Together as One Ansys, we are powering innovation that drives human advancement.


Our Commitments:

  • Amaze with innovative products and solutions
  • Make our customers incredibly successful
  • Act with integrity
  • Ensure employees thrive and shareholders prosper

Our Values:

  • Adaptability: Be open, welcome what’s next
  • Courage: Be courageous, move forward passionately
  • Generosity: Be generous, share, listen, serve
  • Authenticity: Be you, make us stronger


Our Actions:

  • We commit to audacious goals
  • We work seamlessly as a team
  • We demonstrate mastery
  • We deliver outstanding results


We believe diverse thinking leads to better outcomes. We are committed to creating and nurturing a workplace that fuels this by welcoming people, no matter their background, identity, or experience, to a workplace where they are valued and where diversity, inclusion, equity, and belonging thrive.


At Ansys, you will find yourself among the sharpest minds and most visionary leaders across the globe. Collectively we strive to change the world with innovative technology and transformational solutions. With a prestigious reputation in working with well-known, world-class companies, standards at Ansys are high – met by those willing to rise to the occasion and meet those challenges head on. Our team is passionate about pushing the limits of world-class simulation technology, empowering our customers to turn their design concepts into successful, innovative products faster and at a lower cost.


At Ansys, it’s about the learning, the discovery, and the collaboration. It’s about the “what’s next” as much as the “mission accomplished.” And it’s about the melding of disciplined intellect with strategic direction and results that have, can, and do impact real people in real ways. All this is forged within a working environment built on respect, autonomy, and ethics.

Ansys is an S&P 500 company and a member of the NASDAQ-100. We are proud to have been recognized for the following more recent awards, although our list goes on: America’s Most Loved Workplaces, Gold Stevie Award Winner, America’s Most Responsible Companies, Fast Company World Changing Ideas, Great Place to Work Certified (China, Greece, France, India, Japan, Korea, Spain, Sweden, Taiwan, U.K.).

For more information, please visit us at

Ansys is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics.
Ansys does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of Ansys. Upon hire, no fee will be owed to the agency, person, or entity.